V-3DResNets: a 3D convolutional neural network based on residual network variants and slice grouping for pulmonary nodule detection-Reference-Cited by-同舟云学术

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V-3DResNets: a 3D convolutional neural network based on residual network variants and slice grouping for pulmonary nodule detection

Published:2024-02-17 Issue:31 Volume:83 Page:76505-76528
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Prithvika P. C. Sarah,Anbarasi L. Jani^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-18485-5.pdf

Reference54 articles.

1. World Health Organization. Available online: https://www.who.int/news-room/fact-sheets/detail/cancer (accessed on 7th August 2023)

2. Mei J, Cheng MM, Xu G, Wan LR, Zhang H (2021) SANet: A slice-aware network for pulmonary nodule detection. IEEE Trans Pattern Anal Mach Intell 44(8):4374–4387

3. Wu GX, Raz DJ (2016) Lung cancer screening. In: Lung cancer: treatment and research, pp 1–23. Cancer treatment and research book series (CTAR), vol 170

4. Wu GX, Raz DJ, Brown L, Sun V (2016) Psychological burden associated with lung cancer screening: a systematic review. Clin Lung Cancer 17(5):315–324

5. Cao H, Liu H, Song E, Ma G, Xu X, Jin R, Liu T, Hung CC (2020) A two-stage convolutional neural networks for lung nodule detection. IEEE J Biomed Health Inform 24(7):2006-2015

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